library(tidyverse)
coords <- tibble(lat = 1, long = 2)
results <- tibble(address = 'yadda', street = 'xyz', lat = 1, long = 2)
# if there is a column conflict then rename the columns in the
# second dataset. Then merge both datasets with dplyr::bind_cols
# this avoids columns in the first dataset from being renamed
# .suffix is appending to columns in the case of conflict
# df2 is returned
rename_and_bind_cols <- function(df1, df2, suffix = 'results') {
# what column names are in common between the two datasets
names_in_common <- intersect(names(df1), names(df2))
# iterate through column names in common (if any) and rename
if (length(names_in_common) != 0) {
for (name in names_in_common) {
names(df2)[which(names(df2) == name)] <- paste0(name, '.', suffix)
}
}
return(dplyr::bind_cols(df1, df2))
}
combi <- rename_and_bind_cols(coords, results)
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